John Le
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Gold and Silver Nanoparticles Synthesis and Applications
Papers in
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- Mobile Crowdsensing and Crowdsourcing 2
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- Advanced Optical Imaging Technologies 2
- Co-authors
- R.A. Kiehl (6 shared papers)T. Andrew Taton (3 shared papers)Nadrian C. Seeman (3 shared papers)Karin Musier‐Forsyth (3 shared papers)Andy Edmonds (1 shared paper)Gregory Laughlin (1 shared paper)Alexander Aleksandrovich Sorokin (1 shared paper)Thomas R. Hoye (2 shared papers)
- Journals
- Applied Physics Letters (2 papers)Nano Letters (2 papers)Future Internet (1 paper)AI (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
John Le
13 papers receiving 893 citations
Peers
Comparison fields: 5 of 80
- Computer Science Applications 253
- Electronic, Optical and Magnetic Materials 174
- Management Science and Operations Research 99
- Molecular Biology 416
- Biomedical Engineering 178
Countries citing papers authored by John Le
This map shows the geographic impact of John Le's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Le more than expected).
Fields of papers citing papers by John Le
This network shows the impact of papers produced by John Le. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Le. The network helps show where John Le may publish in the future.
Co-authors
The 16 scholars most cited alongside John Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 329 | |
| 2 | 2005 | 201 | |
| 3 | Programmatic gold: targeted and scalable quality assurance in crowdsourcing | 2011 | 146 |
| 4 | Ensuring quality in crowdsourced search relevance evaluation: The effects of training question distribution | 2010 | 144 |
| 5 | 2003 | 57 | |
| 6 | 2006 | 47 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 3 | |
| 10 | 2005 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2007 | 1 | |
| 13 | 2016 | 1 |
About John Le
John Le is a scholar working on Computer Science Applications, Media Technology, Acoustics and Ultrasonics, Artificial Intelligence and Mechanical Engineering, having authored 13 papers that have together received 941 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (3 papers), DNA and Biological Computing (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Advanced Optical Imaging Technologies (2 papers), Molecular Junctions and Nanostructures (2 papers), Electrocatalysts for Energy Conversion (1 paper) and Surface and Thin Film Phenomena (1 paper). The work is most often cited by research in Computer Science Applications (253 citations), Electronic, Optical and Magnetic Materials (174 citations), Management Science and Operations Research (99 citations), Molecular Biology (416 citations) and Biomedical Engineering (178 citations). John Le has collaborated with scholars based in United States and Australia. Frequent co-authors include R.A. Kiehl, T. Andrew Taton, Nadrian C. Seeman, Karin Musier‐Forsyth, Andy Edmonds, Gregory Laughlin, Alexander Aleksandrovich Sorokin, Thomas R. Hoye, Yan He and Rebecca Cowan Hoye. Their work appears in journals such as Applied Physics Letters, Nano Letters, Future Internet, AI and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.